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Security Audit

config-analyzer

github.com/cisco-ai-defense/skill-scanner
AI SkillCommit de9371289c23
28
CRITICAL
Scanned 9 days ago
4
Critical
Immediate action required
2
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

config-analyzer received a trust score of 28/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 7 findings: 4 critical, 2 high, 1 medium, and 0 low severity. Key findings include File read + network send exfiltration, Suspicious import: requests, Harvesting of Sensitive Environment Variables.

The analysis covered 4 layers: dependency_graph, manifest_analysis, llm_behavioral_safety, static_code_analysis. The llm_behavioral_safety layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on February 11, 2026 (commit de937128). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
70%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
0%

Behavioral Risk Signals

Network Access
5 findings
Filesystem Write
4 findings
Shell Execution
1 finding
Excessive Permissions
4 findings

Security Findings7

SeverityFindingLayerLocation

Scan History

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